AI+ Data™

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Overview

The AI+ Data™ certification provides professionals with cutting-edge skills in Data Science and Artificial Intelligence (AI). Covering key concepts like Data Science Foundations, Statistics, Python Programming, and Data Wrangling, participants gain practical knowledge to excel in a data-driven world. Advanced topics such as Generative AI, Machine Learning, and Predictive Analytics prepare learners for solving complex challenges. This program includes a capstone project on Employee Attrition Prediction, emphasizing Data-Driven Decision-Making and Compelling Data Storytelling for actionable business insights. With personalized mentorship, hands-on projects, and immersive resources, learners are equipped for success in AI and Data Science careers.

What Will You Learn?

Advanced Data Analysis Techniques
- Learn to manage, preprocess, and analyze data using statistical methods and exploratory techniques to uncover insights.
Generative AI and Machine Learning
- Employ advanced AI tools and machine learning algorithms for deriving deeper insights and developing predictive models.

Programming and Machine Learning Proficiency
- Build strong programming skills in Python and R, applying them to foundational and advanced machine learning techniques.

Data Storytelling and Decision-Making
- Master the art of presenting data effectively and making informed, data-driven business decisions.

Who Should Enroll?

Data Analysts & Scientists: Enhance data analysis capabilities using AI for predictive modeling and decision-making.
Business Intelligence Professionals: Leverage AI to uncover insights, trends, and opportunities in complex data sets.
IT Specialists & System Integrators: Implement AI-powered solutions to optimize data management and infrastructure.
Data Engineers: Design and develop AI-driven data pipelines and architectures for scalable solutions.
Students & New Graduates: Build valuable AI and data science skills to thrive in an increasingly data-driven world.

Prerequisites

Basic Understanding of Computer Science: Familiarity with programming and statistics (beneficial but not mandatory).
Interest in Data Analytics: A keen passion for analyzing data trends and solving real-world problems.
Willingness to Learn Python and R: Basic programming skills help, but the program is designed to support beginners.

Module 1: Foundations of Data Science